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首页> 外文期刊>Journal of Computational Methods in Sciences and Engineering >Elongation method for linear scaling SCF calculations of polymers
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Elongation method for linear scaling SCF calculations of polymers

机译:聚合物线性比例SCF计算的伸长方法

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The elongation method utilizes the locality or nearsightedness approximation in the electronic structure calculations. In analogy to polymerization/copolymerization mechanism, the elongation method extends the polymer chain by stepwise adding a monomer unit to a starting oligomer. In the same time it preserves as much chemical information as possible by freezing the shape of selected localized molecular orbitals (LMOs). As a consequence the dimension of variational space is effectively reduced and is almost constant along the whole elongation process. Besides diminishing the variational space, LMO basis can also reduce the physical dimension of the Fock matrix in a so called cutoff procedure. In such a way, the computation of large number of two-electron integrals is avoided in the SCF process. In this paper we describe the elongation method implemented with the cutoff technique at the Hartree-Fock level of theory. As an illustrative example, we have chosen C5 conformer of polyglycine to demonstrate that the elongation method is a powerful tool in electronic structure calculations.
机译:伸长方法在电子结构计算中利用局部或近视近似。与聚合/共聚机理类似,延伸方法是通过将单体单元逐步添加到起始低聚物中来延伸聚合物链。同时,它通过冻结选定的局部分子轨道(LMO)的形状来保留尽可能多的化学信息。结果,变化空间的尺寸被有效地减小,并且在整个伸长过程中几乎恒定。除了减少变化空间之外,LMO基础还可以通过所谓的截止程序来减小Fock矩阵的物理尺寸。以此方式,在SCF过程中避免了大量的两个电子积分的计算。在本文中,我们在理论的Hartree-Fock层次上描述了使用截止技术实现的伸长方法。作为说明性示例,我们选择了聚甘氨酸的C5构象异构体,以证明延伸方法是电子结构计算中的强大工具。

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